The Method of Improving Precision of Micro Injection Molding Machine Temperature Control

2013 ◽  
Vol 372 ◽  
pp. 354-359
Author(s):  
Sheng De Tang ◽  
Hong Xu ◽  
Da Ming Wu ◽  
Ya Jun Zhang
Keyword(s):  
Injection Molding ◽  
Temperature Control ◽  
Control Method ◽  
Polymer Melt ◽  
Molding Machine ◽  
Micro Injection Molding ◽  
Injection Molding Machine ◽  
Mathematical Algorithm ◽  
Accurate Temperature ◽  
Accurate Temperature Control

the temperature control accuracy of polymer melt is the main factor affecting quality precision of final products. In this paper, we study the method of improving the precision of temperature control based on control system of micro injection molding machine. In order to avoid big overshoot in the traditional PID control, we use gradual approximation control method based on gradual approximation mathematical algorithm to realize fast and accurate temperature control of the micro injection molding machine. Experiment results show that effective combination of the traditional PID and gradual approximation method can realize accurate temperature control of micro injection molding machine, and precision of temperature control can be improved up to±0.5°C.

Transformation Design of Mixed Injection Molding Production Line

2013 ◽  
Vol 364 ◽  
pp. 329-332
Author(s):  
Xi En Zhou ◽  
Fei Luo ◽  
Xiao Yan Deng ◽  
Feng Jiao Che
Keyword(s):  
Injection Molding ◽  
Production Process ◽  
Temperature Control ◽  
Production Line ◽  
Control Method ◽  
Production Cycle ◽  
Labor Costs ◽  
Molding Machine ◽  
Injection Molding Machine ◽  
Production Automation

Due to the problems of the traditional mixed injection molding production, such as unsatisfactory of the injection molding machine cylinder temperature control, the dispersed devices, the low automation degree and the lack of supervision for the whole production process, the production line of the mixed injection molding machine has been modified. The fuzzy self-adaptive PID control method is used to improve the temperature control accuracy and stability. Two sets of equipments of the injection molding machine have been communicated via the bus technology to realize automation production. And the computer monitoring system has been designed by VB technology to monitor the operating status and parameters of the entire production process. This transformation design can achieve to shorten production cycle, reduce labor costs and covering area, and also improve the production automation level and efficiency.

Design of Automated Distillation Analyzer Based on STM32

2011 ◽  
Vol 383-390 ◽  
pp. 1215-1218
Author(s):  
Wen Gang Chen ◽  
Xiao Jie Song ◽  
Wei Liu
Keyword(s):  
Temperature Control ◽  
Control Method ◽  
Control Unit ◽  
Test Accuracy ◽  
Thermoelectric Cooler ◽  
Control Performance ◽  
Accurate Temperature ◽  
Wireless Module ◽  
And Control ◽  
Accurate Temperature Control

Aiming to solve the problems of inaccuracy in temperature control and the slow reaction in condensing system in the automated distillation analyzer, an approach which combining electrical fan and thermoelectric cooler was put forward, using STM32 as the control unit; accurate temperature control during the distillation process was realized, data collection and processing can be completed by the control unit, and the wireless module can accomplish communication and control the analyzer under the instructions of computer. With this temperature control method, the automation and test accuracy of distillation analyzer can be enhanced, thus ensuring better ratio of performance-to-price and control performance.

Glass fiber–reinforced polypropylene composites fabricated by direct fiber feeding injection molding

2018 ◽  
Vol 38 (5) ◽  
pp. 461-467
Author(s):  
Xiaofei Yan ◽  
Lichao Yu ◽  
Hua Shen
Keyword(s):  
Mechanical Properties ◽  
Injection Molding ◽  
Glass Fiber ◽  
Process Parameters ◽  
Polymer Melt ◽  
Core Layer ◽  
Tensile Tests ◽  
Molding Machine ◽  
Injection Molding Machine ◽  
Pp Composites

Abstract This article investigates the effect of process parameters on the mechanical properties of polypropylene-glass fiber (GF/PP) composites made using a new injection molding method known as direct fiber feeding injection molding (DFFIM). In the DFFIM process, continuous fibers are directly guided into the barrel of the injection molding machine through the designed vent and are fed into the polymer melt by the shearing motion of the screw of the injection molding machine during the plasticization process. The DFFIM process improves the fiber length and avoids excessive fiber attrition, resulting in enhanced mechanical properties in the composites. The effect of process parameters on the mechanical properties of manufactured composite specimens is discussed based on the results of tensile tests, three-point flexural tests, and Izod impact tests. Scanning electron microscopy was performed on the fracture surfaces to observe cross-section morphology. There is a fiber agglomeration phenomenon that occurs in the core layer of GF/PP composites made using DFFIM. The number of fiber rovings, number of fiber filaments, matrix feeding speed, and screw speed influence the GF content and distribution in the composites, ultimately affecting the mechanical properties.

The Effect of Non-Return Nalve on Micro Injection Molding Machine

2013 ◽  
Vol 753-755 ◽  
pp. 1495-1498
Author(s):  
Rui Huan Huang ◽  
Gang Zhou ◽  
Li Qun Dong ◽  
Ya Jun Zhang
Keyword(s):  
Injection Molding ◽  
Pressure Difference ◽  
Pressure Field ◽  
Structural Parameters ◽  
Three Dimensional ◽  
Molding Machine ◽  
Micro Injection Molding ◽  
Injection Molding Machine ◽  
Injection Process ◽  
Isothermal Fluid

The micro injection molding machine (MIMM) is used to produce precision plastic products. The non-return valve (NRV) on the screw head of injection machine plays the role of preventing the melt back discharge during injection process. The sensitivity of non-return valves opening and closing affects the quality of the product. In this paper, numerical simulation of three-dimensional flow field is generalized by the Newtonian isothermal fluid method. Then, five kinds of different structural parameters of NRV are designed, and the pressure field, the pressure difference is simulated by the Polyflow software. At last, the pressure field, and the pressure difference on both side of NRV are analyzed and compared. The best structure parameter of NRV is decided. The simulation results are useful for the NRV design.

The Control Research of Neural Network on Barrel Temperature of the Plastic Injection-Molding Machine

2011 ◽  
Vol 52-54 ◽  
pp. 1656-1659
Author(s):  
Wu Jun Lai ◽  
Shuang Chen
Keyword(s):  
Neural Network ◽  
Injection Molding ◽  
Temperature Control ◽  
Reference Value ◽  
Basic Structure ◽  
Molding Machine ◽  
Control Effect ◽  
Injection Molding Machine ◽  
The Neural Network ◽  
Control Research

The temperaturel contror of injection molding machine barrel was acted as the research object in this paper, by combining artificial neural network with SPIDNN ,we created the basic structure and algorithm models of neural network on the injection molding machine barrel temperature control. Using of Matlab, control of the neural network on barrel temperature was simulated, the quite satisfactory control effect had obtained. The results show that the control strategy proposed can effectively improve the injection molding machine barrel temperature control accuracy, there is important reference value for temperature control of injection molding machine barrel.

scholarly journals Design of Multimodel based MPC and IMC control schemes applied to injection molding machine

2014 ◽  
Vol 3 (2) ◽  
pp. 82
Author(s):  
Kanaga Lakshmi ◽  
D. Manamalli ◽  
M. Mohamed Rafiq
Keyword(s):  
Injection Molding ◽  
Temperature Control ◽  
Weighted Average ◽  
Injection Molding Process ◽  
Monitoring And Control ◽  
Molding Machine ◽  
Molding Process ◽  
Melt Temperature ◽  
Injection Molding Machine ◽  
And Control

Good control of plastic melt temperature for injection molding is very important in reducing operator setup time, ensuring product quality, and preventing thermal degradation of the melt. The controllability and set points of barrel temperature also depend on the precise monitoring and control of plastic melt temperature. Motivated by the practical temperature control of injection molding, this paper proposes MPC and IMC based control scheme. A robust system identification and control methodology is developed which uses canonical varieties analysis for identification and model predictive control for regulation. The injection molding process consists of three zones and the mathematical model for each of the zone is different. The control output for each zone controller is assigned a weight based on the computed probability of each model and the resulting action is the weighted average of the control moves of the individual zone controllers. Keywords: Injection-Molding Machine (IMM), IMC Control, Temperature Control.

Active and accurate temperature control of terahertz functional devices via micro-hotplate system

2021 ◽  
Author(s):  
Yuting Zhang ◽  
yuan xiao hao ◽  
Wei Huang ◽  
Wentao Zhang ◽  
Jiaqi Wang
Keyword(s):  
Active Control ◽  
Temperature Control ◽  
Control Method ◽  
Control Process ◽  
Metamaterial Absorber ◽  
Temperature Control System ◽  
Heating And Cooling ◽  
Accurate Temperature ◽  
Silicon Based ◽  
Accurate Temperature Control

Abstract Based on the problem that the intensity of excitation source is not easy to regulate by the traditional active control method, this paper presents an accurate temperature control system based on micro-hotplate for the first time. This system realizes the active control of terahertz metamaterial functional devices, and implements various functions by using the proposed accurate temperature control process. The temperature control characteristics of micro-hotplate are introduced into the design of terahertz functional devices by taking a vanadium dioxide (VO₂ ) metamaterial absorber as an example. In this design, a silicon-based micro-hotplate is used to heat the metamaterial absorber. According to the phase transition characteristics of VO₂ , the alteration of temperature leads to conductivity change, so as to realize the active control of the absorber. At the same time, this paper also analyzes the heating and cooling time of the micro-hotplate. The simulation results show that, by using the micro-hotplate to heat the metamaterial functional devices, the temperature adjustment speed is reasonably high and the controllable performance is excellent. The test results shows that the surface temperature can be controlled between 40 ℃ and 80 ℃ , and the temperature difference of the working area can be kept within 1℃ . The temperature control of the micro-hotplate is accurately controlled, resulting in the great performance of the metamaterial functional devices.

Enhanced Reliability of Mold Close and Open Control in Injection Molding Machine through Fuzzy Algorithm

2007 ◽  
Vol 120 ◽  
pp. 175-180
Author(s):  
Jin Hyun Park ◽  
Hun Mo Kim
Keyword(s):  
Injection Molding ◽  
Control Method ◽  
Open Loop ◽  
Molding Machine ◽  
Injection Molding Machine ◽  
Loop Control ◽  
Highly Nonlinear ◽  
Machine Interface ◽  
Open Control ◽  
Fuzzy Control Algorithm

Injection Molding Machine (IMM) has been widely used for the mass production of a plastic product. With the development of the relative technique, various injection molding techniques have been developed and we could get more precise plastic product. In this paper, we present the system reliability of an IMM subject to a controller. The controller of an IMM is an important factor in the injection molding and this controller has direct influence on the quality of a plastic product. Presently, the mold close and open control method of a toggle type IMM is openloop control. Open-loop method is difficult to control when they affect highly nonlinear characteristic in an IMM. Therefore, we propose an alternate approach to implement the controller using closed-loop control method to enhance the reliability. Through the development, fuzzy control algorithm is selected and it is programmed by an IL(Instruction List) and a LD(Ladder Diagram) on a PC based PLC. For the development of an IMM controller, PC based PLC of PCI card type, distributed I/O modules with CANopen, Industrial PC and HMI(Human Machine Interface) software are used.

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